Joblaze summary

In this role, the ML/Research Engineer will focus on developing systems to detect and mitigate misuse of AI technologies, including building classifiers and monitoring for coordinated attacks. Proficiency in Python and experience with machine learning systems are essential, along with a strong understanding of safety protocols and risk mitigation strategies. This position is well-suited for candidates with over four years of relevant experience, particularly those concerned about the ethical implications of AI. Anthropic emphasizes collaboration and communication, making it ideal for individuals who thrive in a team-oriented environment.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Anthropic's careers page October 26, 2026.
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 96% of 202 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
Python appears in 52.3% of 551 comparable senior ai/ml roles in United States; Language modeling appears in 0.4% of 551 comparable senior ai/ml roles in United States.

Quick facts

Is the ML/Research Engineer, Safeguards role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY.
What's the salary range?: Anthropic lists $350,000–$500,000 for this role.
How much experience is required?: At least 4 years of relevant experience for this ML/Research Engineer, Safeguards role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY.
What's the tech stack?: Joblaze extracted these technologies from the posting: Adversarial machine learning, Anomaly detection, Interpretability, Language modeling, ML engineering, Python.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets senior candidates for this position.
Is this full-time or contract?: Full-time for this ML/Research Engineer, Safeguards role at Anthropic.

From the original posting

About Anthropic

About the role

We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.

Responsibilities

Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse

You may be a good fit if you

Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
Have proficiency in Python and experience building ML systems
Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
Are worried about misuse risks of AI systems, and want to work to mitigate them
Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also have experience with

Language modeling and transformers
Building classifiers, anomaly detection systems, or behavioral ML
Adversarial machine learning or red-teaming
Interpretability or probes
Reinforcement learning
High-performance, large-scale ML systems

The annual compensation range for this role is listed below.

Annual Salary:

$350,000—$500,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

ML/Research Engineer, Safeguards